Invention Title:

SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE (AI) VIRTUAL REALITY (VR) EMOTIVE CONVERSATION TRAINING

Publication number:

US20240321136

Publication date:
Section:

Physics

Class:

G09B19/00

Inventors:

Applicant:

Drawings (4 of 13)

Smart overview of the Invention

Effective communication between workers and clients is essential in various industries, particularly for sales roles where success often depends on conversational skills. Traditional training methods, including instructor-led role-playing, have limitations due to the scarcity of skilled trainers. While computer-based training tools have been developed to help new employees, they often rely on pre-recorded video segments and multiple-choice interactions that do not provide realistic training experiences.

Introduction

Existing simulated customer interaction systems have either been non-interactive or limited to predefined response paths, which restricts user learning. To address these shortcomings, a new approach utilizes Artificial Intelligence (AI) and Virtual Reality (VR) to create emotive conversation training. This innovative system allows for more realistic and dynamic training experiences, adapting to user input and providing valuable feedback for roles that require specialized customer interactions.

AI-VR Emotive Conversation Training Systems

The proposed system consists of multiple user devices connected through a network, enabling the creation of immersive VR environments and avatars for training purposes. It allows for the generation of virtual conversational elements and captures human-generated responses. By analyzing these interactions using AI, the system can assess conversational intent, identify emotional states, compute outcomes, and score conversations, enhancing the overall training effectiveness.

System Components

  • User Devices: Various computing and mobile devices used by participants in the training program.
  • Network: A communication framework that connects user devices with other components, enabling seamless data exchange.
  • Controller Device: Manages the training process and facilitates interaction between users and virtual environments.
  • Third-Party Device: Provides additional services such as audio transcription and AI processing to support the training experience.

Conclusion

The AI-VR emotive conversation training system offers a cost-effective solution for enhancing employee training in customer interactions. By providing dynamic feedback and immersive experiences, it prepares workers more efficiently than traditional methods. This innovative approach has the potential to significantly improve conversational skills across various roles in the workforce.